Modern aircraft have thousands of parts, systems, and components that need to be recurrently inspected or replaced. To keep the fleet airworthy, maintenance planners have to schedule the maintenance checks for each aircraft and the associated tasks. In practice, these two complex problems are solved following the experience of planners, resulting in sub-efficient solutions. This paper presents the first decision support system (DSS) developed for optimizing both aircraft maintenance check schedule and task allocation. The DSS integrates aircraft maintenance check scheduling, task allocation to each maintenance check, and shift planning in the same framework. The practical relevance of the DSS is illustrated through three test cases. The results show that the DSS can be used not only to optimize maintenance plans but also to study future maintenance policies. The results reveal substantial improvements in all key performance indicators compared with the planning approach followed by a partner airline.

现代飞机有成千上万的零件，系统和组件，需要定期检查或更换。为了使机队保持适航性，维护计划人员必须安排对每架飞机及其相关任务的维护检查。在实践中，这两个复杂的问题是根据计划者的经验解决的，从而导致解决方案效率低下。本文介绍了为优化飞机维修检查时间表和任务分配而开发的第一个决策支持系统（DSS）。DSS在同一框架中集成了飞机维修检查计划，任务分配给每个维修检查以及班次计划。通过三个测试用例说明了DSS的实际相关性。结果表明，DSS不仅可以用于优化维护计划，还可以用于研究未来的维护策略。结果表明，与伙伴航空公司采用的规划方法相比，所有关键绩效指标均得到了显着改善。